2 citations · 3 across the 11 of their papers we have counts for
7 papers · 1 filter
World Requirement Model: Learning Requirement-Change Consequences from Typed Artifact Graphs
Yuanpeng He, Lijian Li, Dongming Jin +7
Requirement changes can affect connected stakeholders, constraints, components, and tests. We present World Requirement Model (WRM), which encodes this engineering context as a typ…
An Interactive Agent for Requirement-Driven Candidate Sourcing
Yuanpeng He, Fangjing Li, Xiangyu Ru +10
Finding people from a natural-language description (``ML engineers transitioning to research roles in biotech'') is increasingly delegated to LLM agents and framed as information r…
From Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology
Dongming Jin, Zhi Jin, Yaotian Yang +5
Requirements elicitation interviews are crucial and time-consuming in requirements engineering, but heavily rely on the experience of requirements analysts. Although recent advance…
ReqElicitGym: An Evaluation Environment for Interview Competence in Conversational Requirements Elicitation
Dongming Jin, Zhi Jin, Zheng Fang +4
With the rapid improvement of LLMs' coding capabilities, the bottleneck of LLM-based automated software development is shifting from generating correct code to eliciting users' req…
A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
Dongming Jin, Zhi Jin, Xiaohong Chen +6
In open source software development, the reuse of existing artifacts has been widely adopted to avoid redundant implementation work. Reusable artifacts are considered more efficien…
UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories
Dongming Jin, Zhi Jin, Yiran Zhang +5
Software maintainability critically depends on high-quality requirements descriptions and explicit traceability between requirements and code. Although automated code summarization…
Revisit Self-Debugging with Self-Generated Tests for Code Generation
Xiancai Chen, Zhengwei Tao, Kechi Zhang +7
Large language models (LLMs) have shown significant advancements in code generation, but still face challenges on tasks beyond their basic capabilities. Recently, the notion of sel…